Massimo Regona

6 papers receiving 536 citations

Massimo Regona's Hit Papers

Artificial intelligence and sustainable development goals: Systematic literature review of the construction industry 2024 · 87 citations
870+1+2Years since publication50100150200250

Peers

Massimo Regona
Comparison fields: 5 of 98
  • Building and Construction 216
  • Radiological and Ultrasound Technology 66
  • Media Technology 80
  • Management Science and Operations Research 100
  • Industrial and Manufacturing Engineering 64
Replace Yuanxin Zhang with:
Yuanxin Zhang China
Michael Atafo Adabre Hong Kong
Abdullahi B. Saka Hong Kong
Guofeng Ma China
Steven Davis Australia
Eric Forcael Chile
Carmel Lindkvist Norway
Iain Rillie South Africa
Serkan Kıvrak Türkiye
Temitope Omotayo United Kingdom
Massimo Regona relative to Yuanxin Zhang China Yuanxin Zhang's profile →
Citations per field
00.5×4.7×
Yuanxin Zhang · 1×
Citations per year

Countries citing papers authored by Massimo Regona

Since Specialization
Citations

This map shows the geographic impact of Massimo Regona's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Massimo Regona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Regona more than expected).

Fields of papers citing papers by Massimo Regona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo Regona. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Massimo Regona. The network helps show where Massimo Regona may publish in the future.

Co-authors

The 11 scholars most cited alongside Massimo Regona, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Regona Line = papers co-authored together Massimo Regona links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review
Hit paper breakdown →
2022268
2 2020119
3
Artificial intelligence and sustainable development goals: Systematic literature review of the construction industry
Hit paper breakdown →
202487
4 202246
5 202237
6 202319
7 20260

About Massimo Regona

Massimo Regona is a scholar working on Building and Construction, Radiological and Ultrasound Technology, Civil and Structural Engineering, Management Science and Operations Research and Communication, having authored 7 papers that have together received 576 indexed citations. Recurring topics across this work include BIM and Construction Integration (4 papers), Occupational Health and Safety Research (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Construction Project Management and Performance (2 papers), Human Mobility and Location-Based Analysis (1 paper), COVID-19 Digital Contact Tracing (1 paper), Digital Transformation in Industry (1 paper) and Disaster Management and Resilience (1 paper). The work is most often cited by research in Building and Construction (216 citations), Radiological and Ultrasound Technology (66 citations), Media Technology (80 citations), Management Science and Operations Research (100 citations) and Industrial and Manufacturing Engineering (64 citations). Massimo Regona has collaborated with scholars based in Australia, China and Saudi Arabia. Frequent co-authors include Tan Yiğitcanlar, Rita Yi Man Li, Bo Xia, Carol K.H. Hon, Melissa Teo, Rashid Mehmood, Nayomi Kankanamge, Kevin C. Desouza, Juan M. Corchado and Andrés A. Maldonado. Their work appears in journals such as Journal of Open Innovation Technology Market and Complexity, ACM Computing Surveys, Buildings, Sustainability and Sustainable Cities and Society.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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